Tag Archives: SVS

They’ve isolated the funding gene!

         November 3, 2015

Bipartisan Budget Act of 2015 Passed! We at Golden Helix, and I are certain that many in our community, are more than pleased to hear that President Obama has signed the “Bipartisan Budget Act of 2015“. Most importantly, the budget agreement raises discretionary spending by $80 billion in fiscal years 2016 and 2017 which should create room for increased spending… Read more »

Introduction to Sergey Kornilov

         October 8, 2015

Our final webcast presentation in the series of winners from our Annual Abstract Challenge is first place recipient Dr. Sergey Kornilov. A Postdoctoral Associate in the Child Study Center at Yale University’s School of Medicine, Dr. Kornilov’s submission focused on the genetic basis of developmental language disorders in a geographically isolated Russian-speaking population. Next week on October 14th, he will… Read more »

What to expect from ASHG 2015

         September 29, 2015

The 65th annual ASHG in Baltimore will be another exciting one. We at Golden Helix have been very busy this year making great improvements to both SVS and the VarSeq software and we look forward to showcasing them during our in-booth demos. In particular, we will launch two new additions to the VarSeq software suite; VSReports and VSWarehouse. VSReports brings highly customizable clinical… Read more »

Quality Assurance: Is it a Boy or Girl?

         August 18, 2015

A common question that comes through support is if there are options in SVS for doing gender inference or checks. There is indeed functionality in SVS for this QC check!  This function is under the Genotype Menu for Sample Statistics; there are a lot of great statistics available to check the quality of your data in SVS, but I’ll walk… Read more »

Dr. Folefac Aminkeng Publishes in Nature Genetics

         August 11, 2015

Today I wanted to take a moment to recognize a long-time Golden Helix customer, Dr. Folefac Aminkeng of the Canadian Pharmacogenomics Network for Drug Safety and the University of British Columbia on his recent publication A coding variant in RARG confers susceptibility to anthracycline-induced cardiotoxicity in childhood cancer, in Nature Genetics. Aminkeng and his colleagues performed a genome-wide association study in… Read more »

Recent Customer Publications

         July 28, 2015
Customers

Congratulations to all of our customers who have recently published! It’s always a pleasure to see the interesting and useful work conducted in part with the aid of our software, and we hope you enjoy reading about it as well. Bradley Aouzierat of UCSF and colleagues published Association of IFNL3 and IFNL4 polymorphisms with liver-related mortality in a multiracial cohort… Read more »

Meta-Analysis is now available in SVS!

         July 21, 2015

Earlier this spring we announced that Meta-Analysis was coming to SVS very soon. Now, I am pleased to announce that it is available in the latest release of SVS (version 8.4.0). Meta-Analysis takes the results of two or more GWAS studies for multiple SNPs or markers, and standard meta-analysis statistics are then performed on each SNP and the results compiled into… Read more »

Using GWAS to Improve the Economics of the Aquaculture Industry

         July 9, 2015

Recently, customer Xin Geng of Auburn University published a paper using SVS, and we wanted to share his story with you. Please feel free to contact us if you have questions or if you would like to learn more about SVS at info@goldenhelix.com. For PhD graduate student Xin Geng, conducting Genome Wide Association Study (GWAS) to uncover the quantitative trait… Read more »

Comparing Variants using a Venn Diagram

         July 7, 2015
annotate

One of the lesser known functions in SVS allows the user to create Venn diagrams comparing variants found in multiple spreadsheets. These different spreadsheets could come from individuals samples, a case vs. control group or several variant databases. It is a helpful tool for visually comparing different variants. Start by creating spreadsheets for each group/samples you’d like to compare. The… Read more »

New and Updated Annotation Tracks Now Available!

         June 11, 2015

In recent months we have been updating our public annotation library to include the most recent versions of existing sources as well as include new sources. Each of these annotation sources are compatible with our three major products (SVS, GenomeBrowse and VarSeq) and can be used for visualization, annotation and filtering. NHLBI ESP6500SI-V2-SSA137 Exomes Variant Frequencies 0.0.30, GHI Annotations are… Read more »

Genomic Prediction

         December 16, 2014

The major interest in genomic prediction is best understood by looking at the growth of the human population. Over the last few hundred years we have experienced an increase in population due to medical advances and massive increase in agricultural productivity. The planet’s population continues to explode: from 1 billion in 1820 to 2 billion in 1930, 3 billion in… Read more »

Call for Abstracts!

         December 11, 2014

As Andreas Scherer mentioned in his post last Tuesday, we will kick off our 2nd annual Abstract Challenge Monday, December the 15th. Here are the details. All academic, government, and commercial organizations world-wide working with genetic data (regardless of species) are invited to apply. Your project should be using DNA-Seq, RNA-Seq, SNP, or CNV methodology, as well as testing gene panels or searching… Read more »

Analyzing Whole Exome, Large-n Cohorts in SVS

         November 25, 2014

It’s come to my attention in recent weeks, through various customer interactions, that many are not aware of the fantastic functionalities that exist in SNP and Variation Suite (SVS) for large-n DNASeq workflows; this includes large cohort analyses with case/control variables. The data you’ll see below is the publically available 1kG Phase 1 v3 Exome sequences from 1,092 individuals with… Read more »

A little known fact about Box Plots

         October 16, 2014

A helpful tool that is included in SVS, but many of our customers may not know about, is the ability to create Box Plots or box-and-whisker plots. These are effective visualizations for comparing groups of numerical data through the data quartiles. I’ll take you through a couple different cases with examples.

A new chapter for Golden Helix

         October 14, 2014

In our latest webcast (which introduced our newest product, VarSeq), Dr. Andreas Scherer, President and CEO of Golden Helix, announced the completion of 2 e-Books; one entitled Clinical Next-Gen Sequencing Analysis and one GWAS. Dr. Scherer published these e-books as part of Golden Helix’s continued effort to provide educational content to our clients and the genetic community as well as to put a… Read more »

ASHG Happenings

         October 8, 2014

It’s that time of year again. The mornings are chilly, the leaves are falling, and ASHG is right around the corner. This year will mark my very first ASHG and I am really looking forward to meeting some of the Golden Helix community! The team has been hard at work preparing for a great conference and I wanted to give you… Read more »

Top 3 Most Viewed Tutorials from Golden Helix

         September 12, 2014

Tutorials are ever-present in the world today, and for good reason. Why struggle through a complicated process yourself, when there is already a guide established to assist? While no one would suggest that a tutorial is the only way to complete a project, it is certainly a nice starting point. This rings true with genetic software as well. There are… Read more »

Tips and Tricks for Quality Control Metrics

         September 4, 2014

SVS offers options for performing many different QC functions on genomic data. This blog takes you through some of the most commonly applied filters for various analysis types. Filters for GWAS data vary depending on the type of association tests you are performing. A typical GWAS for a common variant usually requires filters to remove problematic or poorly called variants,… Read more »